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Subject Guide ~ Sociology

Data Sources

Data Science Tutors

What is the Data Science Tutor Program?

Data Science Tutors (DSTs) are R&ID Research Tutors who specialize in data science. During their shifts, they can assist students with understanding and interpreting data, providing peer research assistance, and instructing them in the use of data analysis tools. We have four Data Science Tutors in Fall '24: Andrew Gou, Cynthia Yang, Ken Lam and Via Zhou. See their friendly faces here!


How do I contact Data Science Tutors?

You can contact them in the following ways during their shifts:

  • In Burke Library they are at the Research & Production service desk on the first floor.
  • Start an Ask Us chat (the "Ask Us" button on the right side of this webpage).
  • Call 315-859-4735.
  • Send an email to: askus@hamilton.edu.
  • Book an appointment on TracCloud.

 

Which data analysis tools do they support?

The Data Science Tutors specialize in different data analysis tools, complementing each other's skill sets. See their specialties below:

  • Git (for data science): Andrew, Ken
  • MS Excel: Andrew, Cynthia, Ken, Via
  • Python (for data science): Andrew, Ken
  • R: Andrew, Cynthia, Ken
  • SPSS: Andrew, Ken, Via
  • SQL: Andrew
  • Stata: Andrew, Cynthia, Via

Questions? Send us an email at askus@hamilton.edu.


When are the Data Science Tutors available in Fall '24?

Our DSTs are available on the following days during the academic semester for drop-in consultations.

Tae Hyun Lim (he/him)
Data Science/Analysis Research Librarian

Burke Library 354 (3rd Floor):
Tuesday 9:00 am to noon

Andrew Gou (he/him)

Burke Library: 
Sunday 9:00-10:00 pm                                                                                                   Monday 9:00-10:00 pm                                                                                                 Tuesday 9:00-10:00 pm                                                                                                 Wednesday 9:00-10:00 pm

Cynthia Yang (she/her)

Burke Library:
Thursday 6:00-10:00 pm

Ken Lam (he/him) Burke Library: 
Sunday 7:00-9:00 pm
Tuesday 8:00-9:00 pm                                                                                              Wednesday 8:00-9:00 pm
Via Zhou (she/her) Burke Library: 
Tuesday 6:00-8:00 pm
Wednesday 6:00-8:00 pm

 

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